{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ce254e2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "API_KEY = '1aNlgGqwZlVeUw0zc667ogl4'\n",
    "SECRET_KEY = 'TffuFEwoWSaw6Ymhir6QjZxwby594b1W'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0cdbc9db",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'refresh_token': '25.6e45db8a12eec56e0c840de882cebc2d.315360000.1968050141.282335-26192132', 'expires_in': 2592000, 'session_key': '9mzdWBJzIzNvJ/REF260intX4a0AH58VTr7nE+6YpaW9desPRxJS9ouTHrkIpJ4TsAuFPl70Z+4NuOF/rx7gkH8NpIBnbw==', 'access_token': '24.cbe4c7444354172447c2024a2ef54301.2592000.1655282141.282335-26192132', 'scope': 'brain_ai_talker brain_bicc brain_bicc_af audio_voice_assistant_get brain_enhanced_asr audio_tts_post brain_speech_realtime public brain_all_scope brain_asr_async wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online smartapp_gov_aladin_to_xcx', 'session_secret': '0afc5470d03389a29b43de2b053b639c'}\n"
     ]
    }
   ],
   "source": [
    "import requests \n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?'\n",
    "#准备URL参数\n",
    "payload = {\n",
    "    'grant_type':'client_credentials',\n",
    "    'client_id':'1aNlgGqwZlVeUw0zc667ogl4',\n",
    "    'client_secret':'TffuFEwoWSaw6Ymhir6QjZxwby594b1W'\n",
    "}\n",
    "response = requests.get(host,params=payload)\n",
    "print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fee200ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24.cbe4c7444354172447c2024a2ef54301.2592000.1655282141.282335-26192132'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "token = response.json()['access_token']\n",
    "token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "083a3ccd",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid character in identifier (<ipython-input-22-81c168cac0a8>, line 101)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-22-81c168cac0a8>\"\u001b[1;36m, line \u001b[1;32m101\u001b[0m\n\u001b[1;33m    def asr(token,AUDIO_FILE='2.wav'，CUID='123456PYTHON',DEV_PID='1537')\u001b[0m\n\u001b[1;37m                                        ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid character in identifier\n"
     ]
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "\n",
    "import sys\n",
    "import json\n",
    "import time\n",
    "\n",
    "IS_PY3 = sys.version_info.major == 3\n",
    "\n",
    "if IS_PY3:\n",
    "    from urllib.request import urlopen\n",
    "    from urllib.request import Request\n",
    "    from urllib.error import URLError\n",
    "    from urllib.parse import urlencode\n",
    "\n",
    "    timer = time.perf_counter\n",
    "else:\n",
    "    import urllib2\n",
    "    from urllib2 import urlopen\n",
    "    from urllib2 import Request\n",
    "    from urllib2 import URLError\n",
    "    from urllib import urlencode\n",
    "\n",
    "    if sys.platform == \"win32\":\n",
    "        timer = time.clock\n",
    "    else:\n",
    "        # On most other platforms the best timer is time.time()\n",
    "        timer = time.time\n",
    "\n",
    "API_KEY = '1aNlgGqwZlVeUw0zc667ogl4'\n",
    "SECRET_KEY = 'TffuFEwoWSaw6Ymhir6QjZxwby594b1W'\n",
    "\n",
    "# 需要识别的文件\n",
    "AUDIO_FILE = 'voice.m4a'  # 只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "# 文件格式\n",
    "FORMAT = AUDIO_FILE[-3:];  # 文件后缀只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "\n",
    "CUID = '123456PYTHON';\n",
    "# 采样率\n",
    "RATE = 16000;  # 固定值\n",
    "\n",
    "# 普通版\n",
    "\n",
    "DEV_PID = 1537;  # 1537 表示识别普通话，使用输入法模型。根据文档填写PID，选择语言及识别模型\n",
    "ASR_URL = 'http://vop.baidu.com/server_api'\n",
    "SCOPE = 'audio_voice_assistant_get'  # 有此scope表示有asr能力，没有请在网页里勾选，非常旧的应用可能没有\n",
    "\n",
    "#测试自训练平台需要打开以下信息， 自训练平台模型上线后，您会看见 第二步：“”获取专属模型参数pid:8001，modelid:1234”，按照这个信息获取 dev_pid=8001，lm_id=1234\n",
    "# DEV_PID = 8001 ;   \n",
    "# LM_ID = 1234 ;\n",
    "\n",
    "# 极速版 打开注释的话请填写自己申请的appkey appSecret ，并在网页中开通极速版（开通后可能会收费）\n",
    "\n",
    "#DEV_PID = 80001\n",
    "#ASR_URL = 'http://vop.baidu.com/pro_api'\n",
    "#SCOPE = 'brain_enhanced_asr'  # 有此scope表示有asr能力，没有请在网页里开通极速版\n",
    "\n",
    "# 忽略scope检查，非常旧的应用可能没有\n",
    "# SCOPE = False\n",
    "\n",
    "\n",
    "# 极速版\n",
    "\n",
    "class DemoError(Exception):\n",
    "    pass\n",
    "\n",
    "\n",
    "\"\"\"  TOKEN start \"\"\"\n",
    "\n",
    "TOKEN_URL = 'http://aip.baidubce.com/oauth/2.0/token'\n",
    "\n",
    "\n",
    "def fetch_token():\n",
    "    params = {'grant_type': 'client_credentials',\n",
    "              'client_id': API_KEY,\n",
    "              'client_secret': SECRET_KEY}\n",
    "    post_data = urlencode(params)\n",
    "    if (IS_PY3):\n",
    "        post_data = post_data.encode('utf-8')\n",
    "    req = Request(TOKEN_URL, post_data)\n",
    "    try:\n",
    "        f = urlopen(req)\n",
    "        result_str = f.read()\n",
    "    except URLError as err:\n",
    "        print('token http response http code : ' + str(err.code))\n",
    "        result_str = err.read()\n",
    "    if (IS_PY3):\n",
    "        result_str = result_str.decode()\n",
    "\n",
    "    print(result_str)\n",
    "    result = json.loads(result_str)\n",
    "    print(result)\n",
    "    if ('access_token' in result.keys() and 'scope' in result.keys()):\n",
    "        if SCOPE and (not SCOPE in result['scope'].split(' ')):  # SCOPE = False 忽略检查\n",
    "            raise DemoError('scope is not correct')\n",
    "        print('SUCCESS WITH TOKEN: %s ; EXPIRES IN SECONDS: %s' % (result['access_token'], result['expires_in']))\n",
    "        return result['access_token']\n",
    "    else:\n",
    "        raise DemoError('MAYBE API_KEY or SECRET_KEY not correct: access_token or scope not found in token response')\n",
    "\n",
    "\n",
    "def asr(token,AUDIO_FILE='2.wav'，CUID='123456PYTHON',DEV_PID='1537')\n",
    "    speech_data = []\n",
    "    with open(AUDIO_FILE, 'rb') as speech_file:\n",
    "        speech_data = speech_file.read()\n",
    "    length = len(speech_data)\n",
    "    if length == 0:\n",
    "        raise DemoError('file %s length read 0 bytes' % AUDIO_FILE)\n",
    "\n",
    "    params = {'cuid': CUID, 'token': token, 'dev_pid': DEV_PID}\n",
    "    #测试自训练平台需要打开以下信息\n",
    "    #params = {'cuid': CUID, 'token': token, 'dev_pid': DEV_PID, 'lm_id' : LM_ID}\n",
    "    params_query = urlencode(params);\n",
    "\n",
    "    headers = {\n",
    "        'Content-Type': 'audio/' + FORMAT + '; rate=' + str(RATE),\n",
    "        'Content-Length': length\n",
    "    }\n",
    "\n",
    "    url = ASR_URL + \"?\" + params_query\n",
    "    print(\"url is\", url);\n",
    "    print(\"header is\", headers)\n",
    "    # print post_data\n",
    "    req = Request(ASR_URL + \"?\" + params_query, speech_data, headers)\n",
    "    try:\n",
    "        begin = timer()\n",
    "        f = urlopen(req)\n",
    "        result_str = f.read()\n",
    "        print(\"Request time cost %f\" % (timer() - begin))\n",
    "    except  URLError as err:\n",
    "        print('asr http response http code : ' + str(err.code))\n",
    "        result_str = err.read()\n",
    "\n",
    "    if (IS_PY3):\n",
    "        result_str = str(result_str, 'utf-8')\n",
    "    print(result_str)\n",
    "    with open(\"result.txt\", \"w\") as of:\n",
    "        of.write(result_str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "13fc449b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "url is http://vop.baidu.com/server_api?cuid=123456PYTHON&token=24.63a668ab09253da241f2970b1ce6f37c.2592000.1655282739.282335-26192132&dev_pid=1537\n",
      "header is {'Content-Type': 'audio/m4a; rate=16000', 'Content-Length': 247574}\n",
      "Request time cost 1.147927\n",
      "{\"corpus_no\":\"7098256163258666534\",\"err_msg\":\"success.\",\"err_no\":0,\"result\":[\"周一晚班，同学们自行录制或解释一个一分钟以内的音频文件，语言和音频参数如下。\"],\"sn\":\"666943057331652691551\"}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "\n",
    "import sys\n",
    "import json\n",
    "import time\n",
    "\n",
    "IS_PY3 = sys.version_info.major == 3\n",
    "\n",
    "if IS_PY3:\n",
    "    from urllib.request import urlopen\n",
    "    from urllib.request import Request\n",
    "    from urllib.error import URLError\n",
    "    from urllib.parse import urlencode\n",
    "\n",
    "    timer = time.perf_counter\n",
    "else:\n",
    "    import urllib2\n",
    "    from urllib2 import urlopen\n",
    "    from urllib2 import Request\n",
    "    from urllib2 import URLError\n",
    "    from urllib import urlencode\n",
    "\n",
    "    if sys.platform == \"win32\":\n",
    "        timer = time.clock\n",
    "    else:\n",
    "        # On most other platforms the best timer is time.time()\n",
    "        timer = time.time\n",
    "\n",
    "API_KEY = '6zgxEabrybKwGnwGBGKq0N4m'\n",
    "SECRET_KEY = 'j7sb4h3CQ3iISZVCuF2wlSfztSDXVYGR'\n",
    "\n",
    "# 需要识别的文件\n",
    "AUDIO_FILE = 'voice.m4a'  # 只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "# 文件格式\n",
    "FORMAT = AUDIO_FILE[-3:];  # 文件后缀只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "\n",
    "CUID = '123456PYTHON';\n",
    "# 采样率\n",
    "RATE = 16000;  # 固定值\n",
    "\n",
    "DEV_PID = 1537;  # 1537 表示识别普通话，使用输入法模型。根据文档填写PID，选择语言及识别模型\n",
    "ASR_URL = 'http://vop.baidu.com/server_api'\n",
    "SCOPE = 'audio_voice_assistant_get'  # 有此scope表示有asr能力，没有请在网页里勾选，非常旧的应用可能没有\n",
    "\n",
    "speech_data = []\n",
    "with open(AUDIO_FILE, 'rb') as speech_file:\n",
    "    speech_data = speech_file.read()\n",
    "length = len(speech_data)\n",
    "if length == 0:\n",
    "    raise DemoError('file %s length read 0 bytes' % AUDIO_FILE)\n",
    "params = {'cuid': CUID, 'token': token, 'dev_pid': DEV_PID}\n",
    "#测试自训练平台需要打开以下信息\n",
    "#params = {'cuid': CUID, 'token': token, 'dev_pid': DEV_PID, 'lm_id' : LM_ID}\n",
    "params_query = urlencode(params);\n",
    "headers = {\n",
    "    'Content-Type': 'audio/' + FORMAT + '; rate=' + str(RATE),\n",
    "    'Content-Length': length\n",
    "}\n",
    "url = ASR_URL + \"?\" + params_query\n",
    "print(\"url is\", url);\n",
    "print(\"header is\", headers)\n",
    "# print post_data\n",
    "req = Request(ASR_URL + \"?\" + params_query, speech_data, headers)\n",
    "try:\n",
    "    begin = timer()\n",
    "    f = urlopen(req)\n",
    "    result_str = f.read()\n",
    "    print(\"Request time cost %f\" % (timer() - begin))\n",
    "except  URLError as err:\n",
    "    print('asr http response http code : ' + str(err.code))\n",
    "    result_str = err.read()\n",
    "if (IS_PY3):\n",
    "    result_str = str(result_str, 'utf-8')\n",
    "print(result_str)\n",
    "with open(\"result.txt\", \"w\") as of:\n",
    "    of.write(result_str)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6179a1c2",
   "metadata": {},
   "source": [
    "# 真对话机器人（文本回复）\n",
    "\n",
    "* 1. 识别语音-->转换百度语音识别指定格式文件\n",
    "* 2. 调用百度asr接口，转换成文本\n",
    "* 3. 回复？数据结构：字典 {key:value} , key（人） 作为输入 Input, value（机器） 作为 Output\n",
    "> 1. {\"你好呀\":\"你也好呀，看起来心情不错呀！\"}\n",
    "* 4. 回复value的信息\n",
    "\n",
    "* 5. 接语音合成，完成智能语音对话机器人\n",
    "\n",
    "* 思考：问天气（调用天气API），问位置（调用高德API），问周边（调用高德周边搜索POI...）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ca4c79d3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "df358eaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pipwin in d:\\program files\\anacaonda\\lib\\site-packages (0.5.2)\n",
      "Requirement already satisfied: requests in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (2.25.1)\n",
      "Requirement already satisfied: docopt in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (0.6.2)\n",
      "Requirement already satisfied: js2py in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (0.71)\n",
      "Requirement already satisfied: packaging in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (20.9)\n",
      "Requirement already satisfied: six in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (1.15.0)\n",
      "Requirement already satisfied: pySmartDL>=1.3.1 in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (1.3.4)\n",
      "Requirement already satisfied: pyprind in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (2.11.3)\n",
      "Requirement already satisfied: beautifulsoup4>=4.9.0 in d:\\program files\\anacaonda\\lib\\site-packages (from pipwin) (4.9.3)\n",
      "Requirement already satisfied: soupsieve>1.2 in d:\\program files\\anacaonda\\lib\\site-packages (from beautifulsoup4>=4.9.0->pipwin) (2.2.1)\n",
      "Requirement already satisfied: pyjsparser>=2.5.1 in d:\\program files\\anacaonda\\lib\\site-packages (from js2py->pipwin) (2.7.1)\n",
      "Requirement already satisfied: tzlocal>=1.2 in d:\\program files\\anacaonda\\lib\\site-packages (from js2py->pipwin) (4.2)\n",
      "Requirement already satisfied: pytz-deprecation-shim in d:\\program files\\anacaonda\\lib\\site-packages (from tzlocal>=1.2->js2py->pipwin) (0.1.0.post0)\n",
      "Requirement already satisfied: backports.zoneinfo in d:\\program files\\anacaonda\\lib\\site-packages (from tzlocal>=1.2->js2py->pipwin) (0.2.1)\n",
      "Requirement already satisfied: tzdata in d:\\program files\\anacaonda\\lib\\site-packages (from tzlocal>=1.2->js2py->pipwin) (2022.1)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in d:\\program files\\anacaonda\\lib\\site-packages (from packaging->pipwin) (2.4.7)\n",
      "Requirement already satisfied: idna<3,>=2.5 in d:\\program files\\anacaonda\\lib\\site-packages (from requests->pipwin) (2.10)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in d:\\program files\\anacaonda\\lib\\site-packages (from requests->pipwin) (1.26.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in d:\\program files\\anacaonda\\lib\\site-packages (from requests->pipwin) (2020.12.5)\n",
      "Requirement already satisfied: chardet<5,>=3.0.2 in d:\\program files\\anacaonda\\lib\\site-packages (from requests->pipwin) (4.0.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install pipwin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cae02a9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Package `pyaudio` found in cache\n",
      "Downloading package . . .\n",
      "https://download.lfd.uci.edu/pythonlibs/x6hvwk7i/PyAudio-0.2.11-cp38-cp38-win_amd64.whl\n",
      "PyAudio-0.2.11-cp38-cp38-win_amd64.whl\n",
      "[*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 0 bytes / 111 kB @ 0 bytes/s [------------------] [0.0%, 0s left]   [*] 8 kB / 111 kB @ 7 kB/s [#-----------------] [7.2%, 0s left]   [*] 8 kB / 111 kB @ 7 kB/s [#-----------------] [7.2%, 0s left]   [*] 40 kB / 111 kB @ 31 kB/s [######------------] [36.0%, 0s left]  [*] 72 kB / 111 kB @ 51 kB/s [###########-------] [64.8%, 0s left]  [*] 72 kB / 111 kB @ 48 kB/s [###########-------] [64.8%, 0s left]  Processing c:\\users\\86131\\pipwin\\pyaudio-0.2.11-cp38-cp38-win_amd64.whl\n",
      "PyAudio is already installed with the same version as the provided wheel. Use --force-reinstall to force an installation of the wheel.\n",
      "[*] 111 kB / 111 kB @ 48 kB/s [##################] [100%, 0s left]    \n"
     ]
    }
   ],
   "source": [
    "!pipwin install PyAudio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "545df550",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'你也好呀~~~'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "answer = {\n",
    "    \"你好\": \"你也好呀~~~\",\n",
    "    \"交个朋友吧\": \"好呀~~~我最喜欢交朋友了!\",\n",
    "    \"你叫什么名字呀\": \"我是你的智能助理小爱呀，想我就来找我呀~~~\"\n",
    "}\n",
    "answer.get(\"你好\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "859654cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import speech_recognition\n",
    "\n",
    "r = speech_recognition.Recognizer()\n",
    "\n",
    "with speech_recognition.Microphone() as source:\n",
    "    audio = r.listen(source)\n",
    "# 将数据保存到wav文件中\n",
    "with open(\"2.wav\", \"wb\") as f: \n",
    "    f.write(audio.get_wav_data(convert_rate=16000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "68c71c8e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fbafc83e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'r' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-15-08b59c20f346>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mhelp\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrecognize_bing\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'r' is not defined"
     ]
    }
   ],
   "source": [
    "help(r.recognize_bing) #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7f553018",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'answer' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-10-309b6dade8b8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     73\u001b[0m     \u001b[0mresult_str\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult_str\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'utf-8'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m \u001b[1;31m# print(result_str)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 75\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0manswer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0meval\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult_str\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"result\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     76\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"result.txt\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"w\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mof\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     77\u001b[0m     \u001b[0mof\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult_str\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'answer' is not defined"
     ]
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "\n",
    "import sys\n",
    "import json\n",
    "import time\n",
    "\n",
    "IS_PY3 = sys.version_info.major == 3\n",
    "\n",
    "if IS_PY3:\n",
    "    from urllib.request import urlopen\n",
    "    from urllib.request import Request\n",
    "    from urllib.error import URLError\n",
    "    from urllib.parse import urlencode\n",
    "\n",
    "    timer = time.perf_counter\n",
    "else:\n",
    "    import urllib2\n",
    "    from urllib2 import urlopen\n",
    "    from urllib2 import Request\n",
    "    from urllib2 import URLError\n",
    "    from urllib import urlencode\n",
    "\n",
    "    if sys.platform == \"win32\":\n",
    "        timer = time.clock\n",
    "    else:\n",
    "        # On most other platforms the best timer is time.time()\n",
    "        timer = time.time\n",
    "\n",
    "API_KEY = '1aNlgGqwZlVeUw0zc667ogl4'\n",
    "SECRET_KEY = 'TffuFEwoWSaw6Ymhir6QjZxwby594b1W'\n",
    "\n",
    "# 需要识别的文件\n",
    "AUDIO_FILE = '2.wav'  # 只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "# 文件格式\n",
    "FORMAT = AUDIO_FILE[-3:];  # 文件后缀只支持 pcm/wav/amr 格式，极速版额外支持m4a 格式\n",
    "\n",
    "CUID = '123456PYTHON';\n",
    "# 采样率\n",
    "RATE = 16000;  # 固定值\n",
    "\n",
    "DEV_PID = 1537;  # 1537 表示识别普通话，使用输入法模型。根据文档填写PID，选择语言及识别模型\n",
    "ASR_URL = 'http://vop.baidu.com/server_api'\n",
    "SCOPE = 'audio_voice_assistant_get'  # 有此scope表示有asr能力，没有请在网页里勾选，非常旧的应用可能没有\n",
    "\n",
    "speech_data = []\n",
    "with open(AUDIO_FILE, 'rb') as speech_file:\n",
    "    speech_data = speech_file.read()\n",
    "length = len(speech_data)\n",
    "if length == 0:\n",
    "    raise DemoError('file %s length read 0 bytes' % AUDIO_FILE)\n",
    "params = {'cuid': CUID, 'token': token, 'dev_pid': DEV_PID}\n",
    "#测试自训练平台需要打开以下信息\n",
    "#params = {'cuid': CUID, 'token': token, 'dev_pid': DEV_PID, 'lm_id' : LM_ID}\n",
    "params_query = urlencode(params);\n",
    "headers = {\n",
    "    'Content-Type': 'audio/' + FORMAT + '; rate=' + str(RATE),\n",
    "    'Content-Length': length\n",
    "}\n",
    "url = ASR_URL + \"?\" + params_query\n",
    "# print(\"url is\", url);\n",
    "# print(\"header is\", headers)\n",
    "# print post_data\n",
    "req = Request(ASR_URL + \"?\" + params_query, speech_data, headers)\n",
    "try:\n",
    "    begin = timer()\n",
    "    f = urlopen(req)\n",
    "    result_str = f.read()\n",
    "#     print(\"Request time cost %f\" % (timer() - begin))\n",
    "except  URLError as err:\n",
    "    print('asr http response http code : ' + str(err.code))\n",
    "    result_str = err.read()\n",
    "if (IS_PY3):\n",
    "    result_str = str(result_str, 'utf-8')\n",
    "# print(result_str)\n",
    "print(answer.get(eval(result_str)[\"result\"][0][:-1]))\n",
    "with open(\"result.txt\", \"w\") as of:\n",
    "    of.write(result_str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c47e38d2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b190c71",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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